Our LLMs, SLMs, and diffusion models are used by over 60,000 developers, startups, and enterprises.
SLMs and LLMs are engineered and trained from the ground up to efficiently run on client devices and edge environments, delivering state-of-the-art performance.
We've open-sourced over 20 models, making them available for the community of AI enthusiasts to try.
Our open-source models are used by over 60,000 developers, startups, SMEs, and enterprises.
An advanced Large Language Model (LLM) fine-tuned on the foundation of Meta's open-source Llama V2 70B parameter model.
An advanced multimodal AI model fine-tuned to understand text and visual inputs to provide contextually relevant responses.
Instruction fine-tuned model with 4K input length, fine-tuned on top of pretrained LLaMa2.
Instruction fine-tuned model with 4K input length, fine-tuned on top of pretrained LLaMa2.
An advanced Large Language Model (LLM) fine-tuned on the foundation of Meta's open-source Llama V2 13B parameter model.
Instruction fine-tuned model with 4K input length, fine-tuned on top of pretrained LLaMa2.
Fine-tuned version of GenZ-13B-V2 with a 16K context size and updated architecture using lambda attention.
State-of-the-art open-source code generation model, outperforming existing models across sizes.
State-of-the-art open-source code generation model, outperforming existing models across sizes.
State-of-the-art open-source code generation model, outperforming existing models across sizes.
State-of-the-art open-source code generation model, outperforming existing models across sizes.
State-of-the-art open-source code generation model, outperforming existing models across sizes.
3.51B parameter model pre-trained on custom synthetic, textbook-style data.
634M parameter model pre-trained from scratch on a custom synthetic dataset of 12B tokens.
634M parameter BitNet model pre-trained from scratch on a custom synthetic dataset of 5B tokens.
Built on CodeLLaMa 13B, fine-tuned on 100k SQL query generation instructions.
Built on Mistral 7B, fine-tuned on 100k SQL query generation instructions.
Democratizing GenAI by commoditizing it.
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